{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dfs1 import dfs1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The output format is `Dictionary`.  \n",
    "The dict `keys` is datetime of `string`,string format is `'yyyy-mm-dd HH:MM:SS'`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sign. Wave Height</th>\n",
       "      <th>Wave Period, T02</th>\n",
       "      <th>Wave Period, Tm10</th>\n",
       "      <th>Mean Wave Direction</th>\n",
       "      <th>x-comp. of wave vector</th>\n",
       "      <th>y-comp. of wave vector</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.495305</td>\n",
       "      <td>9.065932</td>\n",
       "      <td>10.04739</td>\n",
       "      <td>171.5478</td>\n",
       "      <td>-0.786736</td>\n",
       "      <td>5.435500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5.503546</td>\n",
       "      <td>9.046842</td>\n",
       "      <td>10.03795</td>\n",
       "      <td>172.0651</td>\n",
       "      <td>-0.736490</td>\n",
       "      <td>5.450104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5.511787</td>\n",
       "      <td>9.027750</td>\n",
       "      <td>10.02850</td>\n",
       "      <td>172.5824</td>\n",
       "      <td>-0.686244</td>\n",
       "      <td>5.464708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5.519010</td>\n",
       "      <td>9.006640</td>\n",
       "      <td>10.01737</td>\n",
       "      <td>173.3011</td>\n",
       "      <td>-0.615903</td>\n",
       "      <td>5.480586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.557218</td>\n",
       "      <td>9.010767</td>\n",
       "      <td>10.01958</td>\n",
       "      <td>174.3566</td>\n",
       "      <td>-0.516739</td>\n",
       "      <td>5.527664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.596297</td>\n",
       "      <td>9.016068</td>\n",
       "      <td>10.02242</td>\n",
       "      <td>175.3717</td>\n",
       "      <td>-0.422386</td>\n",
       "      <td>5.574553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5.635377</td>\n",
       "      <td>9.021371</td>\n",
       "      <td>10.02526</td>\n",
       "      <td>176.3868</td>\n",
       "      <td>-0.328032</td>\n",
       "      <td>5.621443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.662947</td>\n",
       "      <td>9.026246</td>\n",
       "      <td>10.02792</td>\n",
       "      <td>177.3358</td>\n",
       "      <td>-0.238183</td>\n",
       "      <td>5.654537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>5.669281</td>\n",
       "      <td>9.030335</td>\n",
       "      <td>10.03026</td>\n",
       "      <td>178.1631</td>\n",
       "      <td>-0.156647</td>\n",
       "      <td>5.662176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5.675616</td>\n",
       "      <td>9.034424</td>\n",
       "      <td>10.03261</td>\n",
       "      <td>178.9903</td>\n",
       "      <td>-0.075110</td>\n",
       "      <td>5.669815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5.681950</td>\n",
       "      <td>9.038512</td>\n",
       "      <td>10.03495</td>\n",
       "      <td>179.8176</td>\n",
       "      <td>0.006427</td>\n",
       "      <td>5.677453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5.684408</td>\n",
       "      <td>9.042004</td>\n",
       "      <td>10.03691</td>\n",
       "      <td>180.5428</td>\n",
       "      <td>0.078733</td>\n",
       "      <td>5.681193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>5.688742</td>\n",
       "      <td>9.054070</td>\n",
       "      <td>10.04426</td>\n",
       "      <td>180.9993</td>\n",
       "      <td>0.125092</td>\n",
       "      <td>5.685468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5.700354</td>\n",
       "      <td>9.069854</td>\n",
       "      <td>10.05286</td>\n",
       "      <td>181.2530</td>\n",
       "      <td>0.150151</td>\n",
       "      <td>5.696867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5.711966</td>\n",
       "      <td>9.085637</td>\n",
       "      <td>10.06145</td>\n",
       "      <td>181.5066</td>\n",
       "      <td>0.175210</td>\n",
       "      <td>5.708266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.723578</td>\n",
       "      <td>9.101421</td>\n",
       "      <td>10.07004</td>\n",
       "      <td>181.7603</td>\n",
       "      <td>0.200269</td>\n",
       "      <td>5.719665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.713088</td>\n",
       "      <td>9.110617</td>\n",
       "      <td>10.07508</td>\n",
       "      <td>181.5621</td>\n",
       "      <td>0.180243</td>\n",
       "      <td>5.709688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.696705</td>\n",
       "      <td>9.118057</td>\n",
       "      <td>10.07916</td>\n",
       "      <td>181.2434</td>\n",
       "      <td>0.148200</td>\n",
       "      <td>5.694012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.680768</td>\n",
       "      <td>9.124455</td>\n",
       "      <td>10.08267</td>\n",
       "      <td>180.9097</td>\n",
       "      <td>0.114778</td>\n",
       "      <td>5.678823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.666201</td>\n",
       "      <td>9.128920</td>\n",
       "      <td>10.08513</td>\n",
       "      <td>180.5480</td>\n",
       "      <td>0.078847</td>\n",
       "      <td>5.665021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.660026</td>\n",
       "      <td>9.136245</td>\n",
       "      <td>10.08935</td>\n",
       "      <td>180.2140</td>\n",
       "      <td>0.045983</td>\n",
       "      <td>5.658965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5.662334</td>\n",
       "      <td>9.147902</td>\n",
       "      <td>10.09605</td>\n",
       "      <td>179.9102</td>\n",
       "      <td>0.015648</td>\n",
       "      <td>5.661423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>5.664643</td>\n",
       "      <td>9.159557</td>\n",
       "      <td>10.10274</td>\n",
       "      <td>179.6064</td>\n",
       "      <td>-0.014687</td>\n",
       "      <td>5.663880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5.666951</td>\n",
       "      <td>9.171214</td>\n",
       "      <td>10.10944</td>\n",
       "      <td>179.3026</td>\n",
       "      <td>-0.045022</td>\n",
       "      <td>5.666338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>5.672606</td>\n",
       "      <td>9.182570</td>\n",
       "      <td>10.11619</td>\n",
       "      <td>179.0959</td>\n",
       "      <td>-0.065442</td>\n",
       "      <td>5.671957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5.685408</td>\n",
       "      <td>9.194561</td>\n",
       "      <td>10.12350</td>\n",
       "      <td>178.9102</td>\n",
       "      <td>-0.084096</td>\n",
       "      <td>5.684492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5.704903</td>\n",
       "      <td>9.207492</td>\n",
       "      <td>10.13146</td>\n",
       "      <td>178.6933</td>\n",
       "      <td>-0.106397</td>\n",
       "      <td>5.703551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5.724397</td>\n",
       "      <td>9.220423</td>\n",
       "      <td>10.13942</td>\n",
       "      <td>178.4765</td>\n",
       "      <td>-0.128699</td>\n",
       "      <td>5.722610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5.741201</td>\n",
       "      <td>9.232676</td>\n",
       "      <td>10.14695</td>\n",
       "      <td>178.3093</td>\n",
       "      <td>-0.145916</td>\n",
       "      <td>5.739037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>5.754080</td>\n",
       "      <td>9.243938</td>\n",
       "      <td>10.15385</td>\n",
       "      <td>178.2145</td>\n",
       "      <td>-0.155716</td>\n",
       "      <td>5.751623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>5.353581</td>\n",
       "      <td>9.111504</td>\n",
       "      <td>10.07906</td>\n",
       "      <td>184.4176</td>\n",
       "      <td>0.434169</td>\n",
       "      <td>5.319365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>5.354524</td>\n",
       "      <td>9.151315</td>\n",
       "      <td>10.10151</td>\n",
       "      <td>185.9160</td>\n",
       "      <td>0.572693</td>\n",
       "      <td>5.307930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>5.355467</td>\n",
       "      <td>9.191127</td>\n",
       "      <td>10.12395</td>\n",
       "      <td>187.4144</td>\n",
       "      <td>0.711217</td>\n",
       "      <td>5.296496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>5.329684</td>\n",
       "      <td>9.235170</td>\n",
       "      <td>10.15009</td>\n",
       "      <td>188.7822</td>\n",
       "      <td>0.843491</td>\n",
       "      <td>5.256162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>5.288371</td>\n",
       "      <td>9.287737</td>\n",
       "      <td>10.17894</td>\n",
       "      <td>188.5328</td>\n",
       "      <td>0.812700</td>\n",
       "      <td>5.220520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>5.254510</td>\n",
       "      <td>9.335092</td>\n",
       "      <td>10.20455</td>\n",
       "      <td>188.3318</td>\n",
       "      <td>0.788354</td>\n",
       "      <td>5.191200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>5.225306</td>\n",
       "      <td>9.379190</td>\n",
       "      <td>10.22813</td>\n",
       "      <td>188.1609</td>\n",
       "      <td>0.768033</td>\n",
       "      <td>5.165832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>5.189660</td>\n",
       "      <td>9.412121</td>\n",
       "      <td>10.24631</td>\n",
       "      <td>187.8388</td>\n",
       "      <td>0.733851</td>\n",
       "      <td>5.134890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>5.150249</td>\n",
       "      <td>9.438524</td>\n",
       "      <td>10.26134</td>\n",
       "      <td>187.4283</td>\n",
       "      <td>0.691572</td>\n",
       "      <td>5.100691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>5.089643</td>\n",
       "      <td>9.463799</td>\n",
       "      <td>10.27568</td>\n",
       "      <td>186.6613</td>\n",
       "      <td>0.614272</td>\n",
       "      <td>5.049535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>5.031640</td>\n",
       "      <td>9.491271</td>\n",
       "      <td>10.29124</td>\n",
       "      <td>185.8432</td>\n",
       "      <td>0.533608</td>\n",
       "      <td>5.000860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>4.996319</td>\n",
       "      <td>9.527194</td>\n",
       "      <td>10.31152</td>\n",
       "      <td>185.0727</td>\n",
       "      <td>0.463445</td>\n",
       "      <td>4.971740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>4.960999</td>\n",
       "      <td>9.563117</td>\n",
       "      <td>10.33180</td>\n",
       "      <td>184.3022</td>\n",
       "      <td>0.393282</td>\n",
       "      <td>4.942619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>4.925651</td>\n",
       "      <td>9.595716</td>\n",
       "      <td>10.35026</td>\n",
       "      <td>183.5481</td>\n",
       "      <td>0.324757</td>\n",
       "      <td>4.913491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>4.892924</td>\n",
       "      <td>9.629930</td>\n",
       "      <td>10.36929</td>\n",
       "      <td>182.4383</td>\n",
       "      <td>0.229761</td>\n",
       "      <td>4.881714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>4.872519</td>\n",
       "      <td>9.666401</td>\n",
       "      <td>10.38924</td>\n",
       "      <td>181.0705</td>\n",
       "      <td>0.112835</td>\n",
       "      <td>4.860106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>4.852114</td>\n",
       "      <td>9.702872</td>\n",
       "      <td>10.40919</td>\n",
       "      <td>179.7027</td>\n",
       "      <td>-0.004090</td>\n",
       "      <td>4.838497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>4.840562</td>\n",
       "      <td>9.725970</td>\n",
       "      <td>10.42156</td>\n",
       "      <td>177.7303</td>\n",
       "      <td>-0.170258</td>\n",
       "      <td>4.814851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>4.844824</td>\n",
       "      <td>9.725180</td>\n",
       "      <td>10.42039</td>\n",
       "      <td>174.6779</td>\n",
       "      <td>-0.424387</td>\n",
       "      <td>4.787565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>4.849086</td>\n",
       "      <td>9.724389</td>\n",
       "      <td>10.41923</td>\n",
       "      <td>171.6256</td>\n",
       "      <td>-0.678516</td>\n",
       "      <td>4.760280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>4.856194</td>\n",
       "      <td>9.717145</td>\n",
       "      <td>10.41436</td>\n",
       "      <td>168.8285</td>\n",
       "      <td>-0.918578</td>\n",
       "      <td>4.735665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>4.888435</td>\n",
       "      <td>9.687311</td>\n",
       "      <td>10.39710</td>\n",
       "      <td>166.5500</td>\n",
       "      <td>-1.121992</td>\n",
       "      <td>4.732780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>4.947101</td>\n",
       "      <td>9.634612</td>\n",
       "      <td>10.36731</td>\n",
       "      <td>164.7823</td>\n",
       "      <td>-1.288266</td>\n",
       "      <td>4.752732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>5.005728</td>\n",
       "      <td>9.585306</td>\n",
       "      <td>10.33925</td>\n",
       "      <td>162.9781</td>\n",
       "      <td>-1.452020</td>\n",
       "      <td>4.772976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>5.064355</td>\n",
       "      <td>9.536001</td>\n",
       "      <td>10.31119</td>\n",
       "      <td>161.1738</td>\n",
       "      <td>-1.615774</td>\n",
       "      <td>4.793221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>5.111526</td>\n",
       "      <td>9.467135</td>\n",
       "      <td>10.27287</td>\n",
       "      <td>160.2566</td>\n",
       "      <td>-1.707117</td>\n",
       "      <td>4.815349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>5.153546</td>\n",
       "      <td>9.389473</td>\n",
       "      <td>10.22994</td>\n",
       "      <td>159.7383</td>\n",
       "      <td>-1.765898</td>\n",
       "      <td>4.838323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>5.195566</td>\n",
       "      <td>9.311811</td>\n",
       "      <td>10.18701</td>\n",
       "      <td>159.2201</td>\n",
       "      <td>-1.824678</td>\n",
       "      <td>4.861297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>5.237020</td>\n",
       "      <td>9.232924</td>\n",
       "      <td>10.14337</td>\n",
       "      <td>158.7179</td>\n",
       "      <td>-1.881646</td>\n",
       "      <td>4.884353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>5.287974</td>\n",
       "      <td>9.169236</td>\n",
       "      <td>10.10629</td>\n",
       "      <td>159.4190</td>\n",
       "      <td>-1.826426</td>\n",
       "      <td>4.948612</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Sign. Wave Height  Wave Period, T02  Wave Period, Tm10  \\\n",
       "0            5.495305          9.065932           10.04739   \n",
       "1            5.503546          9.046842           10.03795   \n",
       "2            5.511787          9.027750           10.02850   \n",
       "3            5.519010          9.006640           10.01737   \n",
       "4            5.557218          9.010767           10.01958   \n",
       "5            5.596297          9.016068           10.02242   \n",
       "6            5.635377          9.021371           10.02526   \n",
       "7            5.662947          9.026246           10.02792   \n",
       "8            5.669281          9.030335           10.03026   \n",
       "9            5.675616          9.034424           10.03261   \n",
       "10           5.681950          9.038512           10.03495   \n",
       "11           5.684408          9.042004           10.03691   \n",
       "12           5.688742          9.054070           10.04426   \n",
       "13           5.700354          9.069854           10.05286   \n",
       "14           5.711966          9.085637           10.06145   \n",
       "15           5.723578          9.101421           10.07004   \n",
       "16           5.713088          9.110617           10.07508   \n",
       "17           5.696705          9.118057           10.07916   \n",
       "18           5.680768          9.124455           10.08267   \n",
       "19           5.666201          9.128920           10.08513   \n",
       "20           5.660026          9.136245           10.08935   \n",
       "21           5.662334          9.147902           10.09605   \n",
       "22           5.664643          9.159557           10.10274   \n",
       "23           5.666951          9.171214           10.10944   \n",
       "24           5.672606          9.182570           10.11619   \n",
       "25           5.685408          9.194561           10.12350   \n",
       "26           5.704903          9.207492           10.13146   \n",
       "27           5.724397          9.220423           10.13942   \n",
       "28           5.741201          9.232676           10.14695   \n",
       "29           5.754080          9.243938           10.15385   \n",
       "..                ...               ...                ...   \n",
       "70           5.353581          9.111504           10.07906   \n",
       "71           5.354524          9.151315           10.10151   \n",
       "72           5.355467          9.191127           10.12395   \n",
       "73           5.329684          9.235170           10.15009   \n",
       "74           5.288371          9.287737           10.17894   \n",
       "75           5.254510          9.335092           10.20455   \n",
       "76           5.225306          9.379190           10.22813   \n",
       "77           5.189660          9.412121           10.24631   \n",
       "78           5.150249          9.438524           10.26134   \n",
       "79           5.089643          9.463799           10.27568   \n",
       "80           5.031640          9.491271           10.29124   \n",
       "81           4.996319          9.527194           10.31152   \n",
       "82           4.960999          9.563117           10.33180   \n",
       "83           4.925651          9.595716           10.35026   \n",
       "84           4.892924          9.629930           10.36929   \n",
       "85           4.872519          9.666401           10.38924   \n",
       "86           4.852114          9.702872           10.40919   \n",
       "87           4.840562          9.725970           10.42156   \n",
       "88           4.844824          9.725180           10.42039   \n",
       "89           4.849086          9.724389           10.41923   \n",
       "90           4.856194          9.717145           10.41436   \n",
       "91           4.888435          9.687311           10.39710   \n",
       "92           4.947101          9.634612           10.36731   \n",
       "93           5.005728          9.585306           10.33925   \n",
       "94           5.064355          9.536001           10.31119   \n",
       "95           5.111526          9.467135           10.27287   \n",
       "96           5.153546          9.389473           10.22994   \n",
       "97           5.195566          9.311811           10.18701   \n",
       "98           5.237020          9.232924           10.14337   \n",
       "99           5.287974          9.169236           10.10629   \n",
       "\n",
       "    Mean Wave Direction  x-comp. of wave vector  y-comp. of wave vector  \n",
       "0              171.5478               -0.786736                5.435500  \n",
       "1              172.0651               -0.736490                5.450104  \n",
       "2              172.5824               -0.686244                5.464708  \n",
       "3              173.3011               -0.615903                5.480586  \n",
       "4              174.3566               -0.516739                5.527664  \n",
       "5              175.3717               -0.422386                5.574553  \n",
       "6              176.3868               -0.328032                5.621443  \n",
       "7              177.3358               -0.238183                5.654537  \n",
       "8              178.1631               -0.156647                5.662176  \n",
       "9              178.9903               -0.075110                5.669815  \n",
       "10             179.8176                0.006427                5.677453  \n",
       "11             180.5428                0.078733                5.681193  \n",
       "12             180.9993                0.125092                5.685468  \n",
       "13             181.2530                0.150151                5.696867  \n",
       "14             181.5066                0.175210                5.708266  \n",
       "15             181.7603                0.200269                5.719665  \n",
       "16             181.5621                0.180243                5.709688  \n",
       "17             181.2434                0.148200                5.694012  \n",
       "18             180.9097                0.114778                5.678823  \n",
       "19             180.5480                0.078847                5.665021  \n",
       "20             180.2140                0.045983                5.658965  \n",
       "21             179.9102                0.015648                5.661423  \n",
       "22             179.6064               -0.014687                5.663880  \n",
       "23             179.3026               -0.045022                5.666338  \n",
       "24             179.0959               -0.065442                5.671957  \n",
       "25             178.9102               -0.084096                5.684492  \n",
       "26             178.6933               -0.106397                5.703551  \n",
       "27             178.4765               -0.128699                5.722610  \n",
       "28             178.3093               -0.145916                5.739037  \n",
       "29             178.2145               -0.155716                5.751623  \n",
       "..                  ...                     ...                     ...  \n",
       "70             184.4176                0.434169                5.319365  \n",
       "71             185.9160                0.572693                5.307930  \n",
       "72             187.4144                0.711217                5.296496  \n",
       "73             188.7822                0.843491                5.256162  \n",
       "74             188.5328                0.812700                5.220520  \n",
       "75             188.3318                0.788354                5.191200  \n",
       "76             188.1609                0.768033                5.165832  \n",
       "77             187.8388                0.733851                5.134890  \n",
       "78             187.4283                0.691572                5.100691  \n",
       "79             186.6613                0.614272                5.049535  \n",
       "80             185.8432                0.533608                5.000860  \n",
       "81             185.0727                0.463445                4.971740  \n",
       "82             184.3022                0.393282                4.942619  \n",
       "83             183.5481                0.324757                4.913491  \n",
       "84             182.4383                0.229761                4.881714  \n",
       "85             181.0705                0.112835                4.860106  \n",
       "86             179.7027               -0.004090                4.838497  \n",
       "87             177.7303               -0.170258                4.814851  \n",
       "88             174.6779               -0.424387                4.787565  \n",
       "89             171.6256               -0.678516                4.760280  \n",
       "90             168.8285               -0.918578                4.735665  \n",
       "91             166.5500               -1.121992                4.732780  \n",
       "92             164.7823               -1.288266                4.752732  \n",
       "93             162.9781               -1.452020                4.772976  \n",
       "94             161.1738               -1.615774                4.793221  \n",
       "95             160.2566               -1.707117                4.815349  \n",
       "96             159.7383               -1.765898                4.838323  \n",
       "97             159.2201               -1.824678                4.861297  \n",
       "98             158.7179               -1.881646                4.884353  \n",
       "99             159.4190               -1.826426                4.948612  \n",
       "\n",
       "[100 rows x 6 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filename = 'dfs1 FilePath'\n",
    "dfs1_obj = dfs1(filename)\n",
    "output = dfs1_obj.read_dfs1()\n",
    "output['2004-02-04 00:00:00']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2466ce35400>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "output_data = output['2004-02-04 00:00:00']\n",
    "\n",
    "ax1 = plt.subplot(3,1,1)\n",
    "ax1.plot(output_data.loc[:,output_data.columns.values[0]],'k--')\n",
    "ax1.xaxis.set_visible(False)\n",
    "ax1.set_ylabel('(m)')\n",
    "ax1.legend()\n",
    "\n",
    "ax2 = plt.subplot(3,1,2)\n",
    "ax2.plot(output_data.loc[:,output_data.columns.values[1]],'k-.')\n",
    "ax2.xaxis.set_visible(False)\n",
    "ax2.set_ylabel('(s)')\n",
    "ax2.legend()\n",
    "\n",
    "ax3 = plt.subplot(3,1,3)\n",
    "ax3.plot(output_data.loc[:,output_data.columns.values[3]],'k-')\n",
    "ax3.xaxis.set_visible(False)\n",
    "ax3.set_ylabel('(deg)')\n",
    "ax3.legend()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
